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20232025
most citedProblem-Driven Scenario Reduction Framework for Power System Stochastic Operation

28 citations · 38 across the 4 of their papers we have counts for

collaborators

5 papers

math.OC2025

An Iterative Problem-Driven Scenario Reduction Framework for Stochastic Optimization with Conditional Value-at-Risk

Yingrui Zhuang, Lin Cheng, Ning Qi +2

Scenario reduction (SR) alleviates the computational complexity of scenario-based stochastic optimization with conditional value-at-risk (SBSO-CVaR) by identifying representative s…

eess.SY2024★ 1 cited

LiFePO4 Battery SOC Estimation under OCV-SOC Curve Error Based onAdaptive Multi-Model Kalman Filter

Daniyaer Paizulamu, Lin Cheng, Yingrui Zhuang +3

LiFePO4 batteries are widely used in electric vehicles and energy storage systems due to long cycle life and high safety performance. However, the OCV-SOC curve (OSC) of these batt…

math.OC2024★ 28 cited

Problem-Driven Scenario Reduction Framework for Power System Stochastic Operation

Yingrui Zhuang, Lin Cheng, Ning Qi +2

Scenario reduction (SR) aims to identify a small yet representative scenario set to depict the underlying uncertainty, which is critical to scenario-based stochastic optimization (…

cs.GT2024★ 2 cited

Sharing Energy in Wide Area: A Two-Layer Energy Sharing Scheme for Massive Prosumers

Yifan Su, Peng Yang, Kai Kang +4

The popularization of distributed energy resources transforms end-users from consumers into prosumers. Inspired by the sharing economy principle, energy sharing markets for prosume…

eess.SY2023★ 7 cited

Methodology for Capacity Credit Evaluation of Physical and Virtual Energy Storage in Decarbonized Power System

Ning Qi, Peng Li, Lin Cheng +3

Energy storage (ES) and virtual energy storage (VES) are key components to realizing power system decarbonization. Although ES and VES have been proven to deliver various types of…